Shoreline extraction is important to identify exact land and water boundary of a country. However, it is difficult and time consuming for a large region when using traditional ground survey techniques. Alternatively, by using remote sensing for extracting shoreline is rapid and highly accurate thus minimizing the mapping errors. Although Google Map and Google Earth are open freely for public, they are not suitable to extract shoreline due to some important spectral information have been remove out. The problem in shoreline detection is the difficulty of extraction according to hydrodynamic condition of coastal area such as tides, current, etc. that leads to low accuracy rate. In extracting shoreline, remotely sensed images could be analyzed by using satellite image processing techniques. By using fusion of multispectral and SAR images, shoreline could be extracted with a higher accuracy rate.
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